Data Analyst - CLS

Aspire Software is looking for a Data Analyst to join our team in Lebanon.
Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.
About the job:
This is not a role where you spend your week pulling reports people may or may not look at.
We want someone who can get inside the business, understand how Sales, Customer Success, Marketing, Payments, and Finance operate, and turn messy data and manual processes into scalable systems.
You will become one of the key owners of our revenue data and HubSpot environment, helping us understand what is happening across the customer lifecycle, improving how our teams operate, and building AI agents and automations that remove repetitive work.
You will have significant freedom to identify problems and build solutions.
What Success Looks Like
In your first year, you will help us:
Establish reliable reporting and KPI infrastructure across Sales, Customer Success, Marketing, and Payments
Improve the accuracy, structure, and usability of HubSpot across the organization
Create a clear view of the entire revenue funnel, from lead through acquisition, onboarding, retention, expansion, and payments adoption
Reduce manual reporting and administrative work through automation
Build AI agents and workflows that make our teams faster and more effective; with a focus on go to market and reporting
Improve forecasting, pipeline visibility, customer segmentation, and revenue analysis
Create trusted datasets and dashboards that leadership can use to make decisions quickly
Identify revenue opportunities and operational issues before someone has to ask
What You’ll Do
Revenue Operations & Analytics
Build and maintain dashboards, reporting, and analytical models across the customer lifecycle
Partner with Sales, Customer Success, Marketing, Payments, and Finance to define and track meaningful KPIs
Analyze pipeline, conversion, retention, expansion, payments adoption, and customer behavior
Help improve forecasting accuracy and pipeline management
Identify trends, bottlenecks, anomalies, and opportunities hidden within our data
Develop customer segmentation and cohort analysis to support GTM decisions
Translate business questions into clear analysis and actionable recommendations
Create scalable reporting rather than relying on manual spreadsheets and one-off analysis
HubSpot Ownership & RevOps
Help own and continuously improve our HubSpot environment
Build and maintain workflows, properties, lifecycle stages, pipelines, reporting, and automation
Improve CRM data quality, governance, and consistency
Design processes that make HubSpot easier for Sales and Customer Success teams to use correctly
Connect HubSpot data with other business systems and datasets
Automate lead routing, customer workflows, lifecycle management, alerts, and internal processes
Help establish scalable RevOps processes as the company grows
AI Agents & Automation
Identify repetitive or manual workflows that can be automated
Build AI agents that can analyze information, perform tasks, and support business processes
Create workflows that combine AI models, internal data, APIs, and business applications
Experiment rapidly with new AI capabilities and turn useful prototypes into repeatable internal tools
Build agents for use cases such as research, account intelligence, reporting, data enrichment, customer insights, and internal operations
Measure whether automation actually saves time, improves accuracy, or drives better business outcomes
Help teams understand where AI is useful and where traditional automation or analytics is the better solution
Data Quality & Infrastructure
Combine data from HubSpot and other business systems into consistent reporting
Help define our source-of-truth metrics and business definitions
Identify and resolve data quality issues
Work with Product and Engineering when deeper integrations or data infrastructure are required
Document key metrics, processes, workflows, and data definitions so systems can scale with the company
Requirements
2–5 years of experience in data analytics, Revenue Operations, Business Operations, or a similar analytical role
Strong hands-on experience with HubSpot
Experience working with Sales, Customer Success, Marketing, or broader GTM organizations
Strong SQL and data analysis skills
Experience building dashboards and reporting using BI or visualization tools
Advanced Excel or Google Sheets capabilities
Comfortable working with imperfect datasets and figuring out how to make them useful
Experience designing workflows and automating business processes
Ability to translate analysis into clear business recommendations
Strong curiosity and willingness to dig into how the business actually works
Comfortable operating in a fast-moving environment where not everything has already been built
AI & Automation Experience
We are specifically looking for someone who is excited about using AI as a practical business tool.
You should have experience experimenting with or building solutions using some combination of:
AI agents and agentic workflows
Large language models
APIs and webhooks
Workflow automation platforms
Python or JavaScript
Structured prompts and tool calling
Data enrichment and research automation
Connecting AI models to business applications and internal data
You do not need to be an AI engineer.
You do need to be someone who sees a repetitive process and immediately starts wondering whether there is a better way to do it.
You’ll Thrive Here If…
You like building things from scratch
You are naturally curious about how businesses make money
You would rather solve the underlying problem than keep producing the same report every Monday
You are comfortable moving between data analysis, systems, automation, and business conversations
You ask good questions and challenge assumptions
You care about clean data but understand that real-world data rarely starts clean
You can explain complicated analysis without making it complicated
You enjoy experimenting with new technology and figuring out where it creates real value
You want ownership rather than a narrowly defined list of tasks
What You’ll Get
A high-impact role with direct exposure to senior leadership
Significant ownership over analytics, RevOps, and automation projects
The opportunity to build systems and processes from the ground up
Exposure across Sales, Customer Success, Marketing, Payments, Product, Engineering, and Finance
The ability to experiment with and implement emerging AI technologies
A growing international software business with significant investment behind its next stage of growth
The opportunity to materially influence how Clubspeed and Resova operate as we scale

Work arrangement
No